NVIDIA Based Smart Attendance System in Industries and Education Systems

These days’ attendance and monitoring manually is extremely difficult for the supervisor in working sectors especially coal mining industries. Manual entry of the attendance in logbooks may increase the chance for error in attendance and it may also through burn the time, by employing a clever, automated attendance management solution to address this issue. By using this approach, it will be simple to resolve the issue of proxies and employee being counted as present even when they are not. In this approach, the live video stream will be used to record attendance. The facial landmarks algorithm is used to extract the picture frames from the clip. Face detection and recognition are the primary implementation processes, which involve matching the detected (recorded) face with the faces that have already been stored in open CV and the employee database. This strategy will be an effective way of managing employee attendance. Our work was implemented on an NVIDIA board, and this method will make use of the benefits of Python libraries like Open CV. Its memory is supported by the MySQL database management system. The MySQL database will store the recorded attendance for later use or for archival purposes. This system is capable enough to be integrated with any applications to increase automation and user friendliness thanks to its fasted rand more accurate performance when employing the facial and mark algorithm. The attendance records of employee will be more accurate and reliable thanks to this intelligent and automated technology, which will also give the data security.